Synthego
Scientific Associate Product Marketing Manager
Redwood City, CA · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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The bottom of this range ($80,000) is below the Level I prevailing wage of $148,387. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Marketing Managers (11-2021) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- This person will understand the importance of stakeholder management and work well cross-functionally with Sales, R&D, Product Management, and other key groups.
Responsibilities
- Collaboratively develop marketing plans, content, and campaigns to drive business growth and support product managers on product launches to drive market adoption through our go-to-market strategies such as product positioning & messaging, content development, development of use cases, customer segmentation and personas
- Support campaigns and new product launches by working with product managers, implementing strong digital marketing campaigns, web pages, advertising and social media marketing, event support, to create all necessary assets to support solutions
- Support sales, product management, and marketing through sales tools, training and market expertise to ensure their ability to effectively position and sell products
- Develop, track, and report marketing key performance indicators (KPIs) based on objectives and key results (OKRs)
- Leverage AI-powered tools to streamline marketing workflows, support research and content development, and identify opportunities to improve efficiency and effectiveness.
- Exposure to developing, running, and tracking marketing campaigns that align with corporate goals
- Great creativity to develop unique campaigns that drive our businesses
Nice to have
- MA/MS/PhD or 5+ years of technical experience in life sciences
- 1+ years of experience in product marketing / product management / technical support preferred
- Expertise in life sciences and a strong understanding of gene editing technology and molecular biology workflows
- Strong understanding of customer needs in drug discovery & development, life science research, and/or molecular diagnostics organizations.
- Good working knowledge of marketing data, ability to translate data results into actionable improvement plans
- Hands-on experience using generative AI tools for research, content creation, competitive analysis, or workflow optimization, with the ability to critically evaluate outputs for accuracy and quality is preferred
- Great problem solver with exceptional written and verbal communication skills
- Fluency in Microsoft is required
Compensation
- $80k-$105k
Benefits
- Company Perks & Benefits:
Company info
- Synthego is a pioneering force in the biotechnology industry, dedicated to advancing the frontiers of CRISPR cell and gene therapies through cutting-edge CRISPR technology and expertise.
- Our mission is to provide unparalleled access to best-in-class CRISPR solutions at scale, empowering agility in life science research and development from discovery through clinical trials.
- From streamlined approaches to licensing through full technical and regulatory support from our industry-leading experts, Synthego is enabling greater access to CRISPR technology driving to improved outcomes in patient therapeutic treatments.
- Exposure to product positioning and developing messaging that resonates with our target customers
- Our Mission Synthego is a pioneering force in the biotechnology industry, dedicated to advancing the frontiers of CRISPR cell and gene therapies through cutting-edge CRISPR technology and expertise.
This listing is sourced directly from Synthego's careers page and normalized into a canonical job model.